What a communications audit should actually tell you

Most organisations do not suffer from a shortage of communication data. They suffer from a shortage of decisions that the data can support.

The website has analytics. Social platforms have insights. Newsletters have open and click reports. Search tools have queries and positions. Teams have calendars, presentations, spreadsheets and a surprisingly detailed memory of what went wrong the last time a campaign had to go live on Friday afternoon.

A communications audit can collect all of this and still fail.

If the final presentation says the organisation should post consistently, improve engagement, strengthen its brand and optimise its website, it may be correct. It is also unlikely to change very much.

A useful audit should leave people able to answer harder questions: What is preventing the communication from working? What matters most? What can we change with the resources we actually have? How will we know whether the change helped?

That is the difference between an inventory and a diagnosis.

Start with the decision, not the channel

The standard audit begins with a list: website, Facebook, Instagram, LinkedIn, search, newsletter. Each gets a chapter. Each chapter gets a dashboard, a score and some recommendations.

There is nothing inherently wrong with auditing individual channels. Problems arise when the channels become the unit of strategy.

An institution may have a perfectly respectable Facebook presence and a technically healthy website, yet still make it difficult for someone to understand what services are available or what to do next. A cultural organisation may publish beautiful event images but give first-time visitors no clear route from discovering an event to attending it. A business may invest in search traffic while leaving the most useful information buried under an ambiguous navigation label.

None of these is exclusively a Facebook problem or a website problem. Each is a problem in the journey between audience, message and action.

Before opening analytics, ask what communication must make possible. Is the job to build trust? Help people find reliable information? Explain a programme? Attract qualified enquiries? Coordinate many partners around one message? Bring someone to an event?

Then ask who has to make which decision and what information they need to make it.

That gives the audit something to test.

Look across the system, then find the friction

For our digital ecosystem assessment for the OSCE Mission to Bosnia and Herzegovina, the work crossed several kinds of evidence: website experience, analytics, search visibility, social channels, audience engagement, content and communication processes. Alongside the assessment and strategic recommendations, SO.. delivered staff training.

The interesting part of a project like this is not the number of channels reviewed. It is the relationship between them.

A website page can be technically accessible but hard to discover. A social post can attract attention without making the next step obvious. A team can produce good content, then lose consistency because nobody has agreed who approves what, or when. Looking at one surface alone may conceal the reason another is underperforming.

We do not publish the OSCE engagement’s internal findings or account data. But the method raises a public, transferable question: Where does useful communication break down as it moves between systems and people?

We look for four kinds of friction.

Discovery friction. Can the intended audience find the information? Are search descriptions meaningful? Are navigation labels comprehensible? Does a social post offer a clear path to the relevant page?

Comprehension friction. When people arrive, can they understand the message? Is the language appropriate to the audience? Are assumptions and technical terms getting in the way?

Action friction. Once someone understands, can they do the next thing? Is the form usable? Are contact details clear? Does the information work on a phone? Are there unnecessary handoffs?

Operational friction. Can the organisation sustain the work? Who owns the content? Who checks facts? What happens when a colleague is absent, a partner asks for changes or a campaign ends?

These categories are a useful way to inspect a communication journey. They are not a claim that every organisation needs the same solution or that a public-facing audit must disclose the client’s internal workings.

Separate what happened from why you think it happened

Here is a small, hypothetical example.

A programme receives regular social-media engagement, but very few visitors complete an application form. The temptation is to recommend more paid promotion or a redesigned landing page.

Neither recommendation is justified yet.

We know there is engagement and low recorded completion. We do not know whether the audiences overlap, whether the links work, whether the form is difficult, whether the offer is relevant to the people clicking, or whether the measurement itself is broken.

A better audit would keep three columns separate:

This is an illustrative example, not a finding from an SO.. client engagement.

The important discipline is the separation. An observation is evidence. A hypothesis is a plausible explanation. A recommendation becomes defensible when there is enough evidence to choose a response, or when the response is explicitly framed as a test.

Too many audits skip the middle step. They turn a graph into a confident conclusion and then into an expensive action.

Rank the decisions, not just the problems

A 100-page audit can identify dozens of opportunities. The organisation reading it may have the time and budget to address five.

A useful recommendation therefore needs more than a severity colour.

For each proposed action, we want to know:

• Expected value: What audience or organisational problem would this solve?
• Evidence: What supports the diagnosis, and how confident are we?
• Effort: What will the change require in skills, approvals, budget and ongoing maintenance?
• Dependency: What must happen first for this action to work?
• Owner: Who can make the decision and maintain the result?
• Test: What would tell us whether the change helped?

Suppose a team wants to launch a new platform because competitors are there. An audit might conclude that the existing website’s content ownership and update process need attention first. Opening another channel would multiply the same problem.

Or perhaps a site has a clear structure but few people know it exists. In that case, an expensive redesign would not be the first logical move. Content distribution and discoverability may matter more.

Good strategic judgment often looks less like proposing the largest intervention and more like choosing the correct order.

The deliverable should help the people who inherit it

An audit is usually handed to a team that still has to do its normal work the following morning. This is where excellent recommendations can quietly die.

We think the handover should include a few practical things.

A map of the communication journey explains the intended audiences, the questions they bring and how channels support those needs.

A measurement dictionary defines the handful of indicators that matter, including what each platform actually counts and where data is missing.

A decision roadmap distinguishes immediate fixes from work requiring investment, approval or experimentation.

And a working routine makes the changes survivable: responsibilities, review points, content standards, feedback loops and a realistic way to learn from what gets published.

These are examples of what a useful handover can contain, not a claim that every SO.. engagement uses an identical set of templates.

Training can be an important extension of the work. In the OSCE engagement, staff training accompanied the digital assessment. That matters because people need to understand the reasoning behind recommendations, not simply receive a new document telling them what to do.

A strategy that depends indefinitely on the person who wrote it is difficult to sustain. The people responsible for using it should be able to question, adapt and maintain its decisions.

Beware the beautifully designed audit that explains nothing

There is a visual temptation in this work. Large percentages, radar diagrams, channel scores and neatly colour-coded matrices can make a report look conclusive.

But precision on a graphic is not the same as certainty in a conclusion.

Consider a metric that jumps by several hundred per cent from a tiny baseline. Or a comparison between two platforms whose definitions of a video view differ. Or a social audience reported as a sum of overlapping platform populations.

Those numbers may belong in an internal report, with their caveats. They should not automatically become evidence of an organisational transformation.

This is why an audit needs to examine measurement quality as well as performance. Which figures are estimates? Which time periods match? Which actions are actually observable? Which outcomes are outside the available data?

The report may become less dramatic once those questions are answered. It becomes more useful.

The last page should begin the next ninety days

Picture the meeting in which the audit is presented. The leadership team agrees. People take notes. The document is shared. Everyone returns to a full inbox.

What happens next?

A useful final conversation is less about whether the diagnosis is impressive and more about what the organisation will do before the next review. Which change happens first? Who can approve it? What depends on another team? What evidence will be collected? When will the decision be revisited?

That doesn’t require a grand transformation programme. It may require a clearer landing page, a sensible publishing protocol, better campaign links, a smaller set of meaningful metrics, or one team session to agree how the work moves between people.

And sometimes the audit’s most valuable finding is that the team should stop producing something whose purpose no one can explain.

Clarity is a decision, not a slide

The best communications audit leaves an organisation with fewer unsupported assumptions and a clearer set of choices.

It should tell you what is working, what is merely busy, where the evidence is weak and what to test next. It should connect digital performance to actual audience needs. And it should account for the people who will have to make the recommendations real.

An inventory tells you what you have.

A diagnosis helps you decide what to do.

That difference is the work.